Top Data Engineer Jobs

The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines, collaborate with stakeholders to define requirements, connect systems to the Data Platform, and conduct testing to ensure pipeline performance.

The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines for data integration, collaborate with stakeholders to define technical requirements, connect systems to a client’s Data Platform, and conduct testing to ensure pipeline performance.

As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.

As a Data Engineer at Cognite, you will design and implement data infrastructure and pipelines that centralize data from various sources. This role requires you to collaborate with Solution Architects to define client requirements and develop custom extractors using technologies such as Python and Spark.

As a Data Engineer, you will develop and support a cloud data lake platform, working on ETL applications using Python and Spark, collaborating with project stakeholders, designing software applications, and providing technical leadership. You will also cover on-call responsibilities periodically and engage in training staff on developed software.

The Data Engineer will build automations, design chatbot conversations, develop APIs for data transfer, and create dashboards for the HR organization. Responsibilities include implementing Generative AI use cases and mentoring junior teammates.

The Data Engineer will be responsible for building and optimizing data pipelines, ensuring data integration across systems, and providing high-quality data transformations. The role requires collaboration with teams for data flow optimization and maintaining data quality, governance, and security. Experience with Boomi, IICS, Snowflake, and dbt is required, along with strong SQL skills and understanding of ETL processes.

The Data Engineer will integrate new data sources with the Azure Fabric data Lakehouse, curate data using Python, SparkSQL, and T-SQL, and develop Power BI dashboards. The role requires collaboration with technical leads, ensuring data security, and providing training on Power BI usage.

The Data Engineer II will design and maintain data warehouse capabilities, manage SQL Server databases, develop REST API services, and implement ODBC and OAuth connections for secure data access. Collaborating with cross-functional teams, the role emphasizes delivering optimal data solutions while maintaining high performance and reliability.

This Data Engineer role focuses on developing and supporting ETL frameworks within the Enterprise Data Platform while enhancing RSLI's next-gen data architecture in the Oracle cloud. Responsibilities include troubleshooting data issues, analyzing business processes, and collaborating with business units. A strong background in Big Data technologies and SQL is required.

The Data Engineer will design, implement, and maintain scalable data stores for business analysis, focusing on data architecture, SQL query optimization, and integration. The role involves documentation, project planning, and collaboration with stakeholders to meet technical standards and business requirements.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

This Data Engineer position involves leading technical efforts to enable data analytics for Blue Cross and Blue Shield of Minnesota. Responsibilities include developing data integration solutions, designing data architecture, collaborating with cross-functional teams, and enhancing existing processes. The role requires analyzing test results and executing user story development, ultimately supporting business analytical enablement.

As a Data Engineer, you will build and operationalize complex data solutions, perform data analysis, and incorporate data management best practices. You will collaborate with teams to deliver data products and resolve complex defects, while contributing to the growth of the analytics landscape through the use of various data programming techniques.

The Senior AWS Data Engineer will design, develop, and maintain scalable data pipelines and infrastructure using AWS services. Responsibilities include collaborating with stakeholders, mentoring team members, ensuring operational excellence, and participating in agile ceremonies to deliver data-driven solutions.

As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.

As a Data Engineer at Ecolab, you will develop and maintain Databricks workspaces, write ETL scripts, and create Azure Data Factory pipelines. You'll analyze system requirements, contribute to architectural decisions, and ensure high code quality. The role involves developing web visualizations and optimizing existing solutions for performance and reliability.